# gpt-image-2

A Python skill that runs every GPT Image 2 route from the terminal. Covers text-to-image, mask edits, and the Responses API with streaming.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 16800 installs · ★ 7
- Author: GargantuaX
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/GargantuaX/openskills/tree/HEAD/skills/gpt-image-2/SKILL.md
- Updated: 2026-04-22
- HTML: https://affpapa.org/en/nevibecode/skills/gargantuax-gpt-image-2

## What it does

One script, three ways to work with GPT Image 2. `generations` makes images from a text prompt, `edits` handles several inputs plus a mask, and `responses` adds streaming, partial previews, and mixed text-and-image input.

The skill checks parameters before sending anything: size, aspect ratio, and what a given model supports. Bad combos like a transparent background or `partial_images` outside 0..3 fail fast, so you do not waste an API call on a request that would bounce.

Config comes from `.env`, process environment variables beat the file, and CLI flags beat both. `--dry-run` prints the request without sending it, and `--save-response <path>` keeps the raw JSON or SSE stream for debugging. Secrets never get printed.

You need Python and an API key in the environment. The default endpoint is `https://api.openai.com/v1`, but any OpenAI-compatible gateway works.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add GargantuaX/openskills --skill gpt-image-2 -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/gpt-image-2/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/gpt-image-2/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add GargantuaX/openskills --skill gpt-image-2 -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/gpt-image-2/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add GargantuaX/openskills --skill gpt-image-2 -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/gpt-image-2/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install GargantuaX/openskills gpt-image-2
```

2. **Manually: put the files in place**
- File: `.github/skills/gpt-image-2/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add GargantuaX/openskills --skill gpt-image-2 -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/GargantuaX/openskills --path skills/gpt-image-2
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/gpt-image-2/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add GargantuaX/openskills --skill gpt-image-2 -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/GargantuaX/openskills/tree/HEAD/skills/gpt-image-2/SKILL.md

## When to use it
- Generate an image from a text prompt
- Edit an image using a mask
- Create a batch of images in one run
- Stream partial previews through the Responses API
- Inspect a request before it reaches the API

## Example prompts
- Generate a hero image: `python ./skills/gpt-image-2/scripts/gpt_image.py generations --prompt "A bold product hero image" --output ./out/hero.png --size 1536x1024`
- Run a masked edit: `python ./skills/gpt-image-2/scripts/gpt_image.py edits --prompt "Blend two references" --image ./refs/subject.png --image ./refs/background.png --mask ./refs/mask.png --output ./out/edit-{index}.png`
- Check a request before sending it: `python ./skills/gpt-image-2/scripts/gpt_image.py generations --prompt "Test" --output ./out/test.png --dry-run`

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 541a1487673478cb.

BEGIN THIRD-PARTY FILE 541a1487673478cb
````text
---
name: gpt-image-2
description: Full OpenAI-compatible GPT Image 2 coverage across images/generations, images/edits, and responses with the image_generation tool. Use when the one-shot image helper is not enough - text-to-image, mask edits, multi-image batches, streaming, partial_images, and mixed text+image Responses flows. Reads .env and respects process environment variables; works with any OpenAI-compatible gateway.
---

# GPT Image 2

A single Python entrypoint that covers every GPT Image 2 route, with strict pre-flight validation of the model's size, aspect, and feature constraints.

## Workflow

1. Open [references/config.md](./references/config.md) to pick environment variables and defaults.
2. Open [references/api-surface.md](./references/api-surface.md) to choose between `generations`, `edits`, and `responses`.
3. Prefer `OPENAI_BASE_URL=https://api.openai.com/v1` unless the user asks for a different OpenAI-compatible endpoint.
4. Use `gpt-image-2` for `generations` and `edits`; use a text-capable Responses model such as `gpt-5.4` for `responses`.
5. Run `scripts/gpt_image.py` with one of the three subcommands.
6. Add `--dry-run` first when the payload shape is the main risk.
7. Add `--save-response <path>` when the raw JSON body or SSE event stream needs to be kept for debugging.

## Commands

Text-to-image through the public Images API:

```powershell
python .\skills\gpt-image-2\scripts\gpt_image.py generations `
  --prompt "A bold product hero image for a developer tool homepage" `
  --output .\out\hero.png `
  --size 1536x1024 `
  --quality high `
  --format png
```

Multi-image batch with a filename pattern:

```powershell
python .\skills\gpt-image-2\scripts\gpt_image.py generations `
  --prompt "A cinematic city skyline at night" `
  --output .\out\skyline-{index}.webp `
  --n 3 `
  --format webp `
  --compression 90
```

Image edits with two inputs plus a mask:

```powershell
python .\skills\gpt-image-2\scripts\gpt_image.py edits `
  --prompt "Blend the two references into one clean marketing illustration" `
  --image .\refs\subject.png `
  --image .\refs\background.png `
  --mask .\refs\mask.png `
  --output .\out\edit-{index}.png `
  --image-field-style brackets `
  --n 2
```

Responses API with streaming and partial previews:

```powershell
python .\skills\gpt-image-2\scripts\gpt_image.py responses `
  --input-text "Generate a poster for an AI developer summit" `
  --model gpt-5.4 `
  --output .\out\poster-{index}.png `
  --stream `
  --partial-images 2 `
  --save-response .\out\poster-events.json
```

Responses API edit with a local image plus a mask:

```powershell
````
END THIRD-PARTY FILE 541a1487673478cb

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